11 results about "Multi professional" patented technology

The invention discloses a global material intelligent management and control analysis platform based on multi-professional link data, relates to the technical field of material management, and solves the technical problems of insufficient consumption abnormality judgment accuracy and delayed inventory early warning and supply decision. According to the method, a weighted initial threshold model of historical data and business quota is innovatively constructed, a differential statistical method is adopted for periodic and non-periodic materials, meanwhile, a real-time influence factor is introduced, and a threshold is dynamically corrected through a weighting algorithm, so that the threshold can accurately adapt to business scene change, and the service scene change is accurately matched with the business scene change. The method effectively reduces the abnormal misjudgment rate and the missed judgment rate, achieves the precise monitoring of the consumption state, achieves the precise calculation of the basic remaining time, the scene-based remaining time and the safety buffer time through the scene-based consumption speed model and stock effective value measurement and calculation, achieves the scientific evaluation of the stock sufficiency through the combination with a preset threshold value, generates a purchase signal in advance, and improves the purchase efficiency. And the risks of stock overstock and material shortage are avoided.

The invention discloses a multi-specialty day operation plan management method, system and device and a storage medium, and belongs to the technical field of railway management, and the method comprises the steps: compiling a public work specialty day operation plan, an electric service specialty day operation plan and a power supply specialty day operation plan of a target day, and obtaining a multi-specialty day operation plan set of the target day; according to the plan information of each day operation plan in the multi-specialty day operation plan set, performing conflict detection on the day operation plans in the multi-specialty day operation plan set to obtain conflict operation plans; and determining an optimization scheme of each conflicting operation plan, and sending the optimization scheme of each conflicting operation plan to a plan making person. According to the method, the problem of missing detection of the conflicting operation plans caused by manpower is solved, the labor cost is reduced, and the detection efficiency of the conflicting operation plans is improved; meanwhile, an optimization scheme of a conflict operation plan is provided, and operation conflicts in a railway multi-specialty collaborative operation mode are eliminated in time.

The invention discloses a multi-specialty cooperation-oriented bridge component-based data automatic aggregation and reconstruction method, which is characterized by comprising the following steps of S1, independently defining and allocating a unique identifier to each component, and forcibly assigning a topological connection relationship of each component; according to the unique identifier, automatically retrieving and extracting all original data related to the component from a plurality of professional design tables of a plurality of design segments, and completing data aggregation across the design segments and across the professional tables; reconstructing a plurality of discrete data entries describing the same engineering entity into a single logic component object, and establishing a component-based topological data model; s2, based on the component-based data model obtained in the S1, generating a standard data table meeting downstream professional requirements; and S3, providing the standard data table to a downstream specialty through a standardized data interface, and driving a collaborative design process of the downstream specialty. According to the method, the problems of low collaboration efficiency and high error rate caused by data dispersion and model heterogeneity are solved.

The invention discloses a BIM (Building Information Modeling)-based decorative surface three-dimensional typesetting and plate marking method and system under multi-specialty limitation, and belongs to the technical field of building information systems. The method comprises the steps that a multi-specialty BIM model is imported, space conflict detection is carried out, and a multi-specialty limitation database is generated; performing automatic arrangement calculation in a three-dimensional space based on decorative surface material parameters and a limitation database to realize through seam typesetting and automatic collision avoidance; and automatically numbering the generated decorative plates, calculating three-dimensional space coordinates, writing annotation information into BIM attributes, and performing real-time linkage updating with the model. According to the method, the problems of difficulty in joint passing, low collision adjustment efficiency, plate positioning information loss and the like in three-dimensional typesetting of the decorative surface are solved, the design precision and the construction efficiency are improved, and meanwhile, a data basis is provided for digital construction and quality inspection.

The invention discloses a BIM technology-based engineering cost management method, system and device and a medium, and the method comprises the steps: firstly carrying out the clustering of building components in a multi-specialty BIM model, obtaining a clustering result, generating a component-list association table based on the clustering result and a region list specification, and carrying out the construction cost management of the building components in the multi-specialty BIM model; secondly, monitoring the multi-professional BIM model according to the component-list association table, generating a change event when the change of the multi-professional BIM model is monitored, then recalculating the construction cost of the building component influenced by the change in the change event based on the real-time market price and the component-list association table, and obtaining change construction cost data; and finally, based on the historical cost data and the changed cost data, predicting a cost change trend by using a long short-term memory network model, and generating an engineering technology optimization parameter and a cost calculation optimization parameter according to the cost change trend. According to the invention, the efficiency, real-time performance and accuracy of cost calculation can be improved.

The invention provides an intelligent collaborative scheduling method for multi-specialty parallel construction of a construction project. The method is applied to a multi-specialty parallel construction system, and a platform communicates with each specialty department in real time. The method comprises the following steps: obtaining a first task interval according to project geography, scale, type, drawing and qualification; obtaining a second interval after compliance and primary nucleation; obtaining a third interval through detailed planning of functions, structures, water, electricity and fire fighting and multi-specialty collaborative evaluation; comparing the difference between the first interval and the second interval, marking as a first cooperative interval, and checking whether the interval is overlapped; and if not, selecting departments in the third interval to perform special auditing, recording the maximum feedback quantity of each stage, comparing the maximum feedback quantity with a preset value, and judging whether the project construction is qualified or not. According to the invention, the construction reporting efficiency can be improved, the cooperative effect among professional departments is enhanced, and the accuracy and reliability of construction project construction reporting are improved.

This invention discloses a multi-disciplinary collaborative design method for power grid engineering based on data fusion, relating to the field of collaborative design technology. The method includes: receiving professional design data and constraint data; performing object merging to generate an object library and a constraint library; reading the object library and constraint library to generate candidate object pairs, obtaining the relationships to be established, and generating a callable clearance ledger; receiving local design modifications, generating change domains, calculating penetration values, recalculating the clearance amount after local modifications, identifying review relationships, boundary-breaking relationships, existing abnormal relationships, and objects to be repaired; generating a change domain to accept changes and performing boundary-breaking propagation; obtaining a set of review relationships, a set of boundary-breaking relationships, a set of existing abnormal relationships, and a set of objects to be repaired; establishing a list of objects to be repaired, generating correction domains and correction content, locking the responsible professional, writing back to the object library, updating the callable clearance ledger, and triggering a correction closure check; improving the consistency, traceability, and closure of multi-disciplinary collaborative design.

The invention relates to the technical field of building model data processing, in particular to a BIM (Building Information Modeling)-based complex road section multi-specialty design checking method, which comprises the following steps of: respectively analyzing the difference of attribute numbers and the difference of size data between any two components, and combining the similarity of the attribute data between any two components to obtain a BIM-based complex road section multi-specialty design checking result; clustering each component and all other components in the professional cluster under each professional category; and obtaining a replacement cluster, determining a retention coefficient on the basis of the number of components directly connected with each component and in combination with the difference of the replacement coefficients between each component under each professional category and all components in the replacement cluster and the number of attributes, so as to obtain a retention component, carrying out lightweight processing on the BIM model, and checking the BIM model subjected to the lightweight processing. According to the method, the components are accurately and efficiently removed by considering professional and attribute differences between similar components, so that the efficiency and accuracy of checking the BIM model of the complex road section are improved.

The application relates to the technical field of building model data processing, in particular to a complex road section multi-specialty design checking method based on BIM. The method comprises the following steps: analyzing the difference in the number of attributes and the difference in size data between any two components, and combining the similarity of attribute data between any two components to cluster each component in a professional cluster under each professional category with all the remaining components; obtaining a replacement cluster, determining a retention coefficient based on the number of directly connected components of each component, combining the difference in the replacement coefficient between each component in each professional category and all the components in the replacement cluster of the component, and the number of attributes, to obtain a retained component, performing lightweight processing on the BIM model, and checking the BIM model after the lightweight processing. The application accurately and efficiently removes components by considering the professional and attribute differences between similar components, thereby improving the efficiency and accuracy of the BIM model checking of the complex road section.

The invention is suitable for the technical field of data processing, and provides an urban multi-professional facility digital asset library construction method, which comprises the following steps: collecting multi-source heterogeneous data of facilities in different professional fields; screening data from the multi-source heterogeneous data based on a facility type special precision threshold rule and a cross-professional space coupling weight factor to obtain an initial asset data set; performing format conversion and semantic mapping on data in the initial asset data set to generate standardized asset data; fusing the standardized asset data by adopting an entity association method based on a spatial index and a graph model; detecting whether the proportion of the number of feature points with spatial position conflicts in the fusion process is lower than a preset conflict threshold value, and if yes, generating target fusion data; and constructing a digital asset library of the urban multi-professional facility according to the target fusion data. The accurate association quality and the collaborative management reliability of the multi-professional facility data are improved, and efficient decision making of the smart city is effectively supported.

The application relates to the field of industry training and discloses a power industry training system based on an NLP large model, which is used for providing a personalized training solution for the power industry. The power industry training system comprises the following steps: processing thermal power multi-professional and full production stage standard files by using an NLP large model, establishing a technical supervision standard data source, collecting trainee information to form basic information, generating a customized question bank according to the basic information and matching standard specifications, combining examination and interaction data to generate an ability portrait and a label, and then formulating a personalized training scheme. The application can effectively solve the problems of insufficient personalization, incomplete evaluation and the like of traditional power training, and improve the training effect and safety.